面向对象的多尺度无人机影像土地利用信息提取

Land use classification of object-oriented multi-scale by UAV image

选取面向对象的方法,对无人机影像进行土地利用信息提取。通过对获取的原始无人机影像进行预处理,选取合适的分割参数对实验区进行多尺度分割,找出不同地物最优分割尺度,建立多尺度分割分类的层次结构体系,然后依据地物分类特征差异,在各自最优分割尺度层建立地物特征提取规则,实现土地利用信息的提取。研究结果表明,针对无人机高分辨率影像,运用面向对象的多尺度分割影像信息提取技术,可充分利用影像中包含的纹理、形状、大小及其相互空间信息,快速、准确地进行土地利用信息提取。

The object- oriented method was chosen to extract land use information from UAV image. Through pretreatment of the original UAV images, the appropriate partition parameters were selected to perform multi - scale segmentation in the experimental area; according to the terrain classification characteristic differences the classification hierarchy system of multi - scale segmentation and the surface feature characteristic extraction rules were established to extract land use information in the respective optimal segmentation scale layer. The result shows that the application of object - oriented multi - scale segmentation technology can extract the land use information rapidly and accurately by using the texture, shape, size, and spatial relationship information of high - resolution UAV image.